The importance of data driven decision making cannot be overstated in today's big data era. Decision makers including private equity investors, venture capitalists, analysts, entrepreneurs, management consultants, and business managers are increasingly facing a very complex business environment and have to make decisions which potentially could have a huge impact on not only the business unit in question, but also on employees, stakeholders and society at large. While the problems have become more complex, decision makers have also at their fingertips, access to vast amouAnts of data as well as tools which can help them analyse the data. The ability to understand the data and use them to support their decisions is increasingly proving to be a necessary skill in a decision maker's portfolio.
This module provides students with a number of key skills and techniques, which will enable them to make quicker and smarter decisions in the face of increasing uncertainty and complexity. The module will focus on organising, visualising, computing, and analysing data to provide insights which can then act as inputs into the decision making process. The approach will use both theoretical and practical concepts. It will concentrate on the applicability of a range of statistical and computational methods in data driven decision making.
This module provides students with a number of key skills and techniques, which will enable them to make quicker and smarter decisions in the face of increasing uncertainty and complexity. The module will focus on organising, visualising, computing, and analysing data to provide insights which can then act as inputs into the decision making process. The approach will use both theoretical and practical concepts. It will concentrate on the applicability of a range of statistical and computational methods in data driven decision making.